Senior Data Scientist - Optimization Modeling & Process Mining (Remote) - Transforming Healthcare with Data-Driven Insights
Join the Mercy Team: Where Compassion Meets Innovation
At Mercy, we're on a mission to bring to life a healing ministry through compassionate care and exceptional service. Our team of advanced professional data scientists, engineers, and application developers is seeking a highly skilled Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will play a critical role in driving impact within our leading and transforming healthcare organization. You'll work on exciting projects aimed at reducing healthcare bottlenecks, improving patient movement and quality, reducing length of stay, and enhancing patient outcomes.About Us
We're a little different. Our supportive community is behind you every step of your day, especially the tough ones. You'll have opportunities to pioneer new models of care and transform the healthcare experience through advanced technology and innovative procedures. We're expanding to help our communities grow, and we want you to be a part of it all.
Job Summary
We're seeking a Senior Data Scientist with expertise in optimization modeling and process mining to join our team of data scientists, engineers, and application developers. As a Senior Data Scientist, you will work on generating, extracting, and compiling data to perform creative, high-quality, state-of-the-art analyses and evaluations that produce insights, support decision-making, and drive impact within our organization.Key Responsibilities:
- Lead the development and deployment of healthcare-relevant predictive and prescriptive models using machine learning and deep learning techniques.
- Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
- Design, develop, and implement data extraction, management, and analysis processes using data analytics tools.
- Lead others in the completion of related work and effectively document, develop, and communicate project plans and analytic findings with technical and non-technical stakeholders.
- Develop and apply computational algorithms and statistical methods to healthcare data, including electronic medical records, financial management, human resources, quality, and supply chain data.
- Work with cloud-based data and AI solutions, especially in implementation and operationalization of machine learning-based solutions.
Requirements
Essential Qualifications:
- At least 4 years of experience in a similar role in academia or industry, or PhD + 2 years in a similar role in academia or industry.
- Graduate degree in Public Health, Health Care Research, Epidemiology, Statistics, Data Science, Health Policy, Economics, Finance, Simulation/Simulation-Based Optimization, or a related field.
- Strong knowledge of electronic medical record data, clinical data, claims data, or financial data.
- Intermediate to advanced development skills with at least one scripting language (Python, R, etc.).
- Ability to quickly learn new analytic tools and packages.
Preferred Qualifications:
- Experience with SQL and data analytics tools.
- Hands-on experience with a broad range of deep learning tools (e.g., TensorFlow, Spark, Theano, PyTorch, Scikit-learn, Keras, Caffe, Nvidia Digits) and collaboration environments (e.g., Jupyter notebooks, PyCharm, gitlab, github).
- Excellent problem-solving skills and strong organizational skills, with an orientation toward detail and collaboration.
What We Offer
Competitive Compensation and Benefits:
- Competitive salary.
- Day-one comprehensive health, vision, and dental coverage.
- PTO and tuition reimbursement.
- Employer-matched retirement funds.
Career Growth Opportunities:
- Opportunities to pioneer new models of care and transform the healthcare experience through advanced technology and innovative procedures.
- Collaborative and supportive community.
- Professional development and growth opportunities.
Why Join Us?
At Mercy, compassion and professionalism go hand-in-hand. We're collaborative and unafraid to do a little extra to deliver excellent care. If you're looking for a challenging and rewarding role that aligns with your values and passions, we encourage you to apply.
How to Apply
Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team. Apply now to join our team of data scientists, engineers, and application developers and be a part of transforming healthcare with data-driven insights.
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